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Stochastic programming
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#	Item
361	Stochastic Programming in Lutz Westermann [removed] Add to Reading List Source URL: www.gams.com Language: English - Date: 2012-10-19 14:20:04 Mathematical software Computer algebra systems General Algebraic Modeling System FortSP Algebraic modeling language AIMMS Stochastic programming Modeling language Stochastic Operations research Mathematical optimization Numerical analysis
362	Stochastic Optimization: Recent Enhancements in Algebraic Modeling Systems Lutz Westermann [removed] GAMS Software GmbH Add to Reading List Source URL: www.gams.com Language: English - Date: 2010-07-12 12:13:19 Applied mathematics Computer algebra systems Numerical software Computer file formats FortSP General Algebraic Modeling System Stochastic optimization Stochastic programming Algebraic modeling language Operations research Mathematical optimization Numerical analysis
363	Learning Distributed Control for Modular Robots Paulina Varshavskaya, Leslie Pack Kaelbling and Daniela Rus MIT CSAIL Cambridge, MA, USA {paulina,lpk,rus}@csail.mit.edu Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2004-06-30 13:22:50 Stochastic control Reinforcement learning Machine learning Markov decision process Self-reconfiguring modular robot Q-learning Robotics Robot Statistics Dynamic programming Markov processes
364	DetH: Approximate Hierarchical Solution of Large Markov Decision Processes∗ Jennifer L. Barry, Leslie Pack Kaelbling, Tom´as Lozano-P´erez MIT Computer Science and Artificial Intelligence Laboratory Cambridge, MA 02 Add to Reading List Source URL: people.csail.mit.edu Language: English* - Date: 2012-06-11 20:17:47 Dynamic programming Markov processes Stochastic control Optimal control Markov decision process Reinforcement learning Function Macro Automated planning and scheduling Statistics Control theory Mathematics
365	DetH: Approximate Hierarchical Solution of Large Markov Decision Processes∗ Jennifer L. Barry, Leslie Pack Kaelbling, Tom´as Lozano-P´erez MIT Computer Science and Artificial Intelligence Laboratory Cambridge, MA 02 Add to Reading List Source URL: people.csail.mit.edu Language: English* - Date: 2011-09-29 15:55:17 Dynamic programming Markov processes Stochastic control Optimal control Markov decision process Reinforcement learning Function Macro Automated planning and scheduling Statistics Control theory Mathematics
366	Robust Belief-Based Execution of Manipulation Programs Kaijen Hsiao, Tom´ as Lozano-P´erez, and Leslie Pack Kaelbling Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, {kjh Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2008-12-03 20:20:17 Stochastic control Dynamical system Motion planning Robot Kinematics Normal distribution Mobile robot Statistics Dynamic programming Partially observable Markov decision process
367	Artificial Intelligence[removed]–134 Planning and acting in partially observable stochastic domains Leslie Pack Kaelbling a,∗,1,2 , Michael L. Littman b,3 , Anthony R. Cassandra c,1 Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2004-07-01 07:47:55 Stochastic control Markov models Partially observable Markov decision process Markov decision process Reinforcement learning Automated planning and scheduling Markov chain Kalman filter Statistics Markov processes Dynamic programming
368	Hierarchical Solution of Large Markov Decision Processes Jennifer Barry and Leslie Pack Kaelbling and Tom´as Lozano-P´erez MIT Computer Science and Artificial Intelligence Laboratory Cambridge, MA 02139, USA {jbarry,lp Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2010-05-17 16:00:47 Dynamic programming Markov processes Stochastic control Network theory Markov decision process Reinforcement learning Symbol Algorithm Shortest path problem Statistics Mathematics Applied mathematics
369	Stochastic Programming in Lutz Westermann [removed] Add to Reading List Source URL: www.gams.com Language: English - Date: 2012-09-06 11:13:29 Numerical analysis Computer algebra systems Numerical software FortSP Stochastic optimization Algebraic modeling language Stochastic programming AIMMS Stochastic Operations research Mathematical optimization Mathematics
370	Approximate Planning in POMDPs with Macro-Actions Georgios Theocharous MIT AI Lab 200 Technology Square Cambridge, MA 02139 Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2004-07-01 07:47:54 Stochastic control Markov models Partially observable Markov decision process Models of computation Markov decision process Automated planning and scheduling Reinforcement learning Algorithm Q-learning Statistics Markov processes Dynamic programming

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